NYC Restaurant Inspection Data Plotly

Load the necessary packages and data.

library(tidyverse)
library(plotly)
library(httr)
library(jsonlite)

get_all_inspections = function(url) {
  
  all_inspections = vector("list", length = 0)
  
  loop_index = 1
  chunk_size = 50000
  DO_NEXT = TRUE
  
  while (DO_NEXT) {
    message("Getting data, page ", loop_index)
    
    all_inspections[[loop_index]] = 
      GET(url,
          query = list(`$order` = "zipcode",
                       `$limit` = chunk_size,
                       `$offset` = as.integer((loop_index - 1) * chunk_size)
                       )
          ) %>%
      content("text") %>%
      fromJSON() %>%
      as_tibble()
    
    DO_NEXT = dim(all_inspections[[loop_index]])[1] == chunk_size
    loop_index = loop_index + 1
  }
  
  all_inspections
  
}

url = "https://data.cityofnewyork.us/resource/43nn-pn8j.json"

nyc_inspections = 
  get_all_inspections(url) %>%
  bind_rows()

nyc_inspections |>
  drop_na() |> 
  filter(boro == "Manhattan") |> 
  mutate(
    text_label = str_c("Grade: ", grade, "\nCritical Flag: ", critical_flag, "\nViolation: ", violation_description),
    long = as.numeric(latitude),
    lat = as.numeric(longitude)) |> 
  plot_ly(
    x = ~lat, y = ~long, type = "scatter", mode = "markers", color = ~grade, text = ~text_label, alpha = 0.5, colors = "viridis")

nyc_inspections |> 
  drop_na() |> 
  mutate(
    score = as.numeric(score),
    boro = fct_reorder(boro, score))  |> 
  plot_ly(x = ~boro, y = ~score, color = ~boro, type = "box", colors = "viridis")

nyc_inspections |> 
  drop_na() |>
  filter(boro == "Manhattan") |>
  count(cuisine_description) |> 
  mutate(cuisine_description = fct_reorder(cuisine_description, n)) |> 
  filter(n > 30) |> 
  plot_ly(x = ~cuisine_description, y= ~n, color = ~cuisine_description, type = "bar", colors = "viridis")